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(PyTorch, scientific Python) with solid experience in scientific computing and software development; familiarity with C++ and Linux environments is an advantage Strong background in deep learning for image
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, Bioinformatics or related fields with an interest in biology or Biological sciences with a strong background in programming Expertise and experience in programming, Python or R Expertise to work in a Linux
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projects Solid Linux knowledge for development and system interaction Experience with Docker and containerization Very good written and spoken English Strong teamwork and communication skills Furthermore it
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practices Linux OS, Git-based version control Knowledge in combinatorial optimization Experience in implementing machine learning solutions (in particular reinforcement learning) Experience with one or more
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mobile devices and web servers to Windows and Linux programs and embedded systems. In addition to classic program analysis techniques, we also use AI approaches. We publish the results of our research
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(or comparable degree). Experience with data engineering. Familiarity with research data management and FAIR principles. Experience with HPC clusters. Experience with Linux OS (e.g. SLES/RHEL/CentOS
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, Bioinformatics or related fields with an interest in biology or Biological sciences with a strong background in programming Expertise and experience in programming, Python or R Expertise to work in a Linux
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Python and C++, with solid experience in scientific computing and software development; familiarity with Linux environments Excellent collaboration and communication skills and enjoyment of working in
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management and workload management systems). Candidates should be able to demonstrate a strong proficiency in Linux and in working with the Linux command line and should be familiar with common tools
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(Python, C++) and computer (Linux, Windows) skills Excellent cooperation and communication skills You enjoy working within a diverse team in an international and interdisciplinary environment Very good